{"id":"W4389479264","doi":"10.3389/fddsv.2023.1346042","title":"Editorial: Drug discovery for emerging and neglected tropical diseases: advances, challenges and perspectives","year":2023,"lang":"en","type":"editorial","venue":"Frontiers in Drug Discovery","topic":"Parasites and Host Interactions","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Neglected tropical diseases; Drug discovery; Tropical disease; Data science; Medicine; Biology; Computer science; Bioinformatics; Disease; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004625191,0.00328352,0.003023599,0.002751482,0.001855992,0.006210706,0.003220532,0.01082696,0.01638031],"category_scores_gemma":[0.01459115,0.0008550831,0.002768308,0.001207632,0.002310754,0.004996677,0.001337392,0.0126361,0.012197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002382803,"about_ca_system_score_gemma":0.002390483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008350521,"about_ca_topic_score_gemma":0.00168943,"domain_scores_codex":[0.9962177,0.0005166184,0.0004611515,0.0006865259,0.001748893,0.0003692211],"domain_scores_gemma":[0.983648,0.006299247,0.001301024,0.0004013263,0.00588662,0.002463831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008611671,0.00002568307,0.00004876701,0.000409293,0.00002102045,0.00009708297,0.00001496492,0.000054457,0.0001494103,0.0004703827,0.9887201,0.009902648],"study_design_scores_gemma":[0.00007619559,0.00008242354,0.0002967987,0.0004831354,0.00004912862,0.0003471218,0.00004043107,0.0001856643,0.0002369285,0.001190973,0.9969866,0.00002465122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00007730457,0.007666898,0.0002038342,0.02733387,0.9632444,0.00002314976,0.00007392419,0.00007529822,0.001301241],"genre_scores_gemma":[0.0005313514,0.006036486,0.0001317678,0.01994395,0.9683248,0.00001496357,0.00003551148,0.00003092181,0.004950349],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01638031,"threshold_uncertainty_score":0.05479759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00747027213654267,"score_gpt":0.2698181395553425,"score_spread":0.2623478674187998,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}